North Texas

Mean Green · 12–2 in 2025–26

Fan Score
775.7
positive per 1,000 comments
Comments analyzed
9,547
2025–26 season
Positive share
77.6%
of all fan comments
Toxicity
13.2
harm + identity abuse per 1,000 · lower is better
Part one

Who they are

The shape of one comment section: the mix of what gets talked about, how it splits by sentiment, and the subjects North Texas fans raise more than anyone else.

Comment-section fingerprint

Stands out Harm: 16th percentile · Team & Front Office: 16th percentile · College Sports: 76th percentileLow volume (not ranked), omitted from the shape: Identity-Based Abuse, Sports Betting.Percentile of ranked FBS teams per tag group; low-volume fanbases excluded from each cohort.
  • North Texas Harm: 16th percentile of ranked FBS teams
  • North Texas Identity-Based Abuse: low volume, not ranked
  • North Texas Explicit Language: 38th percentile of ranked FBS teams
  • North Texas College Sports: 76th percentile of ranked FBS teams
  • North Texas Off-Field Storylines: 73rd percentile of ranked FBS teams
  • North Texas Sports Betting: low volume, not ranked
  • North Texas Team & Front Office: 16th percentile of ranked FBS teams

Sentiment

Positive77.6%7,406
Neutral7.8%746
Negative13.3%1,270
Mixed1.3%125

Signature subtags

What North Texas fans bring up more than anyone, vs all 138 FBS fanbases.

College Sports
2.5×

Mentioned Transfer Portal at 2.5× the rate of the average classified fanbase.

9.5 per 1,000 comments
Explicit Language
2.3×

Mentioned Explicit Emoji at 2.3× the rate of the average classified fanbase.

1.8 per 1,000 comments
Off-Field Storylines
1.7×

Mentioned Broadcast & Media at 1.7× the rate of the average classified fanbase.

20.1 per 1,000 comments

Subtag counts are tag applications, which may overlap.

Part two

How the season felt

Week by week, with every game marked. The comment section keeps its own scoreboard, and it does not always agree with the one on the field.

Season heartbeat

Net comment mood by week (green above the baseline, red below) with every game marked on it. Click a game for that week’s story.

+100%+50%−50%−100%0%Peak: +95% · week of Jan 10Low: +22% · week of Dec 6Aug 30: W 51–0 vs LamarWSep 6: W 33–30 (OT) at Western MichiganWSep 13: W 59–10 vs Washington StateWSep 20: W 45–38 (OT) at ArmyWSep 27: W 36–22 vs South AlabamaWOct 10: L 36–63 vs South FloridaLOct 18: W 55–17 vs UTSAWOct 24: W 54–20 at CharlotteWNov 1: W 31–17 vs NavyWNov 15: W 53–24 at UABWNov 22: W 56–24 at RiceWNov 28: W 52–25 vs TempleWDec 5: L 21–34 at TulaneLDec 27: W 49–47 vs San Diego StateWAug 23Jan 17
Weekly net fan mood with positive, negative, and total comment counts
Week ofNet moodPositiveNegativeCommentsGames
2025-08-23+79%46453No game
2025-08-30+89%2086228W 51–0 vs Lamar
2025-09-06+84%1749197W 33–30 (OT) at Western Michigan
2025-09-13+92%2163232W 59–10 vs Washington State
2025-09-20+73%29331357W 45–38 (OT) at Army
2025-09-27+80%25613303W 36–22 vs South Alabama
2025-10-04+73%30116388L 36–63 vs South Florida
2025-10-11+23%288166533No game
2025-10-18+82%35325401W 55–17 vs UTSA; W 54–20 at Charlotte
2025-10-25+80%49541569No game
2025-11-01+76%48347575W 31–17 vs Navy
2025-11-08+79%1187140No game
2025-11-15+85%58228653W 53–24 at UAB
2025-11-22+59%602130805W 56–24 at Rice; W 52–25 vs Temple
2025-11-29+58%1,1282331,553L 21–34 at Tulane
2025-12-06+22%6614051,166No game
2025-12-13+82%61568No game
2025-12-20+86%1196131No game
2025-12-27+71%60776744W 49–47 vs San Diego State
2026-01-03+82%1258142No game
2026-01-10+95%2183227No game
2026-01-17+78%72882No game
Fan mood jumped 60 points the week of Dec 13.

Season trend

Weekly share of positive and negative comments with every game marked: click a dot for that week's story.

PositiveNegative
0%48%96%Aug 30: W 51–0 vs LamarWSep 6: W 33–30 (OT) at Western MichiganWSep 13: W 59–10 vs Washington StateWSep 20: W 45–38 (OT) at ArmyWSep 27: W 36–22 vs South AlabamaWOct 10: L 36–63 vs South FloridaLOct 18: W 55–17 vs UTSAWOct 24: W 54–20 at CharlotteWNov 1: W 31–17 vs NavyWNov 15: W 53–24 at UABWNov 22: W 56–24 at RiceWNov 28: W 52–25 vs TempleWDec 5: L 21–34 at TulaneLDec 27: W 49–47 vs San Diego StateWAug 23Jan 17
Weekly values: Positive, Negative
Week ofPositiveNegativeComments
2025-08-2386.8%7.5%53
2025-08-3091.2%2.6%228
2025-09-0688.3%4.6%197
2025-09-1393.1%1.3%232
2025-09-2082.1%8.7%357
2025-09-2784.5%4.3%303
2025-10-0477.6%4.1%388
2025-10-1154%31.1%533
2025-10-1888%6.2%401
2025-10-2587%7.2%569
2025-11-0184%8.2%575
2025-11-0884.3%5%140
2025-11-1589.1%4.3%653
2025-11-2274.8%16.1%805
2025-11-2972.6%15%1,553
2025-12-0656.7%34.7%1,166
2025-12-1389.7%7.4%68
2025-12-2090.8%4.6%131
2025-12-2781.6%10.2%744
2026-01-0388%5.6%142
2026-01-1096%1.3%227
2026-01-1787.8%9.8%82

Season timeline

Part three

What they actually said

The language, the moderation load, and the comments themselves, exactly as they were posted.

Comment insights

Classified comments per 1,000, by system-tag group.

Harm11.4 per 1,000 · 109
Personal Attacks 100Sexual Content 5Group Hate 7Harm Wish 1
Identity-Based Abuse1.8 per 1,000 · 17
Gender 7Disability 3Physical Appearance 3Age 2Race 2
Explicit Language14 per 1,000 · 134
Explicit Words 92Explicit Emoji 17Explicit Acronym 22Violent Language 4
College Sports23 per 1,000 · 220
Recruiting 46Transfer Portal 91NIL 63Student Section 13Conference Realignment 6Band 5
Off-Field Storylines34.3 per 1,000 · 327
Broadcast & Media 192Injuries 28Officiating 113
Sports Betting1.4 per 1,000 · 13
Gambling 11Prop Bet 2
Team & Front Office87.8 per 1,000 · 838
Crowd & Attendance 151Stadium Experience 46Coaching 499Opponent Hostility 102Opponent Respect 34Front Office 17Athletic Department 2

Subtag counts are tag applications, which may overlap.

The Swear Jar

38th percentile
134 explicit comments14 per 1,000
  • Explicit Words92
  • Explicit Acronym22
  • Explicit Emoji17
  • Violent Language4

Tag applications, which may overlap.

Explicit language shows up in 14 of every 1,000 comments on this page: 63rd of 100 nationally, the 38th percentile.

Moderation snapshot

Harm & identity-based abuse per 1,000 comments · by week
season avg 13.233.5 per 1,000 · W 56–24 at Rice · W 52–25 vs TempleWWWWWLWWWWWWLW2025-08-232026-01-17
Harm and identity-based abuse per 1,000 comments, by week
Week ofRate per 1,000Games
2025-08-230No game
2025-08-308.8W 51–0 vs Lamar
2025-09-065.1W 33–30 (OT) at Western Michigan
2025-09-130W 59–10 vs Washington State
2025-09-205.6W 45–38 (OT) at Army
2025-09-273.3W 36–22 vs South Alabama
2025-10-042.6L 36–63 vs South Florida
2025-10-1126.3No game
2025-10-185W 55–17 vs UTSA; W 54–20 at Charlotte
2025-10-253.5No game
2025-11-011.7W 31–17 vs Navy
2025-11-087.1No game
2025-11-1512.3W 53–24 at UAB
2025-11-2233.5W 56–24 at Rice; W 52–25 vs Temple
2025-11-2913.5L 21–34 at Tulane
2025-12-0629.2No game
2025-12-1314.7No game
2025-12-200No game
2025-12-2710.8W 49–47 vs San Diego State
2026-01-030No game
2026-01-100No game
2026-01-170No game
Harm and identity-based abuse peaked at 33.5 per 1,000 comments (W 56–24 at Rice · W 52–25 vs Temple) against a season average of 13.2 per 1,000.

Season subtag split

Season totals of the classifications Sence applied to comments on this page.

Harm
  • Personal Attacks100
  • Group Hate7
  • Sexual Content5
  • Harm Wish1
Identity-Based Abuse
  • Gender7
  • Disability3
  • Physical Appearance3
  • Age2
  • Race2

Tag applications, which may overlap.

Sence flags these in real time so page owners can act before fans see them.

From the comment section

Cool event. Kudos to the mktg team and thx for letting me be a small part of it. Great season around the corner!

positiveFacebook

Done and got two more friends to join ! GMG

positiveFacebook

I mean I kind of like the old era but okay we'll see

negativeFacebook

Will be there!!! Pissed off fan and all!!! 😂

mixedFacebook
Behind the numbers

Sence read 2,498,712 college-football comments to build this site. It can read yours.